Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Ensuring the safety and quality of poultry products requires efficient detection and removal of fore...
BACKGROUND: The increasing development and spread of artificial and assistive intelligence is openin...
Spiking neural networks (SNNs) are the basis for many energy-efficient neuromorphic hardware systems...
Citrullination is a critical yet understudied post-translational modification (PTM) implicated in va...
Specificity, sensitivity, and high metabolite coverage make mass spectrometry (MS) one of the most v...
The emergence of ChatGPT and similar new Generative AI tools has created concern about the validity ...
Computer vision based on instance segmentation deep learning models offers great potential for autom...
Control of movement is learned and uses error feedback during practice to predict actions for the ne...
Denoising artifacts, such as noise from muscle or cardiac activity, is a crucial and ubiquitous conc...
Continual Learning (CL) is recognized to be a storage-efficient and privacy-protecting approach for ...
Psychiatric diseases are bringing heavy burdens for both individual health and social stability. The...
This study presents an improved workflow to support the development of machine learning models to pr...
Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it mu...
BACKGROUND: The incorporation of machine learning is becoming more prevalent in the clinical setting...
This review examines the application of natural language processing (NLP) techniques in cancer resea...
BACKGROUND: Artificial intelligence is based on algorithms that enable machines to perform tasks and...
Magnetic Resonance Imaging (MRI) generates medical images of multiple sequences, i.e., multimodal, f...
Machine learning approaches often involve evaluating a wide range of models due to various available...
BACKGROUND: Although transcutaneous spinal cord stimulation (tSCS) has been suggested as a safe and ...
PURPOSE: This study explores uses of artificial intelligence (AI) in health professions education fo...
BACKGROUND AND OBJECTIVE: Pathology image classification is crucial in clinical cancer diagnosis and...